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- GitHub - microsoft/nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. https://github.com/Microsoft/nni 59 comments
- [1611.01578] Neural Architecture Search with Reinforcement Learning https://arxiv.org/abs/1611.01578 38 comments
- Pareto efficiency - Wikipedia https://en.wikipedia.org/wiki/Pareto_efficiency 21 comments
- [1503.02531] Distilling the Knowledge in a Neural Network https://arxiv.org/abs/1503.02531 5 comments
- [2006.07733] Bootstrap your own latent: A new approach to self-supervised Learning https://arxiv.org/abs/2006.07733 5 comments
- Tournament selection - Wikipedia https://en.wikipedia.org/wiki/Tournament_selection 1 comment
- [1712.00559] Progressive Neural Architecture Search https://arxiv.org/abs/1712.00559 0 comments
- [1611.02167] Designing Neural Network Architectures using Reinforcement Learning https://arxiv.org/abs/1611.02167 0 comments
- Deep Reinforcement Learning free course | AI Summer https://theaisummer.com/deep_reinforcement_learning_course/ 0 comments
- Neural Architecture Search https://lilianweng.github.io/lil-log/2020/08/06/neural-architecture-search.html 0 comments
- [1802.01548] Regularized Evolution for Image Classifier Architecture Search https://arxiv.org/abs/1802.01548 0 comments
- [1802.03268] Efficient Neural Architecture Search via Parameter Sharing https://arxiv.org/abs/1802.03268 0 comments
- Intuitive Explanation of Skip Connections in Deep Learning | AI Summer https://theaisummer.com/skip-connections/ 0 comments
- [1707.07012] Learning Transferable Architectures for Scalable Image Recognition https://arxiv.org/abs/1707.07012 0 comments
- Recurrent neural networks: building a custom LSTM cell | AI Summer https://theaisummer.com/understanding-lstm/ 0 comments
- AutoKeras https://autokeras.com/ 0 comments
- [1806.09055] DARTS: Differentiable Architecture Search https://arxiv.org/abs/1806.09055 0 comments
- [1511.00363] BinaryConnect: Training Deep Neural Networks with binary weights during propagations http://arxiv.org/abs/1511.00363 0 comments
- [1708.05344] SMASH: One-Shot Model Architecture Search through HyperNetworks https://arxiv.org/abs/1708.05344 0 comments
- AutoGluon 0.7.0 documentation https://auto.gluon.ai/stable/index.html 0 comments
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